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zkComposer achieves up to 6.84x faster proof generation for zero-knowledge machine learning, revolutionizing the scalability of private model inference.
DataGuard ensures that sensitive data remains private during federated learning, even when third-party applications are involved.
Rapidly prototype and deploy new rendering methods across diverse hardware platforms with just a few lines of code using XPR.
Open-source LLMs can now autonomously optimize AI accelerator kernels, matching the performance of proprietary models at a fraction of the cost.
